Selection and ranking of E-learning websites using weighted distance-based approximation

Jain, Dimpal; Garg, Rakesh; Bansal, Ashu; Saini, Kalpana

doi:10.1007/s40692-016-0061-6

Cited by 42 publications

(26 citation statements)

References 12 publications

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“…Jain et al (2015) used the TOPSIS method to solve the problem of E-learning websites selection based on selection criteria. Jain et al (2016) proposed a WDBA methodology for the ranking of E-learning websites using six selection criteria as security, interactivity, complete content, personalization, right and understandable content, user interface and navigation. Zadeh (1965) proposed the fuzzy set theory which is capable to deal with the impreciseness and vagueness of data.…”

Section: Review Of Previous Workmentioning

confidence: 99%

Prioritizing e-learning websites evaluation and selection criteria using fuzzy set theory

Garg¹,

Jain²

2017

10.5267/j.msl

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E-learning websites evaluation and selection is extremely important for the establishment of effective E-learning. The E-learning website selection has crucial importance for the educational sector. The selection of E-learning website problem is generally considered as a Multi-Criteria Decision Making (MCDM) problem which mainly consists of both qualitative and quantitative criteria. The development of an E-learning website mainly depends on the success of the Elearning website selection along with various alternatives. So, for the effective evaluation and selection of E-learning websites, a set of selection criteria should be obtained. This paper consists of two steps, the first step is the identification of E-learning website selection criteria, second step provides the linguistic variables against the selection criteria and then fuzzy set theory (FST) is adopted for the calculation of the priority weights of each selection criteria. To show the relative importance of each selection criteria, they ranked according to their global weights.

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Section: Review Of Previous Workmentioning

confidence: 99%

Prioritizing e-learning websites evaluation and selection criteria using fuzzy set theory

Garg¹,

Jain²

2017

10.5267/j.msl

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“…It may be untoward or improper for DMs to choose optimal or receivable alternatives. The weighted distance‐based approximation (WDBA), first proposed by Rao and Singh, is a befitting algorithm to process the information in a rational and resultful way …”

Section: Introductionmentioning

confidence: 99%

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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With the intensification of global warming trends, the frequent occurrence of natural disasters has brought severe challenges to the sustainable development of society. Emergency decision‐making (EDM) in natural disasters is playing an increasingly important role in improving disaster response capacity. In the case of EDM evaluation, the essential problem arises serious incompleteness, impreciseness, subjectivity, and incertitude. The q‐rung orthopair fuzzy set (q‐ROFS), disposing the indeterminacy portrayed by membership and nonmembership with the sum of qth power of them, is a more viable and effective means to seize indeterminacy. The aim of paper is to present a new score function of q‐rung orthopair fuzzy number (q‐ROFN) for solving the failure problems when comparing two q‐ROFNs. Firstly, we introduce some basic set operations for q‐ROFS. The properties of these operations are also discussed in detail. Later, we propose a q‐rung orthopair fuzzy decision‐making method based on weighted distance‐based approximation (WDBA), in which the weights of decision‐makers are obtained from a nonliner optimization model according to the deviation‐based method. Finally, some examples are investigated to illustrate the feasibility and validity of the proposed approach. The salient features of the proposed method, compared to the existing q‐rung orthopair fuzzy decision‐making methods, are as follows: (a) it can obtain the optimal alternative without counterintuitive phenomena and (b) it has a great power in distinguishing the optimal alternative.

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“…The alternative having the least value of suitability index is ranked at first position and with the maximum value at last. WDBA approach has already been applied in many fields as plant layout design (Rao & Singh, 2012), E-learning websites selection (Jain et al 2016), COTS component selection . The steps of WDBA method are given below.…”

Section: Proposed Methodologymentioning

confidence: 99%

Multi-criteria decision making approach for the selection of software effort estimation model

Bansal¹,

Kumar²,

Garg³

2017

10.5267/j.msl

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Software development with minimum effort has become a challenging task for the software developers. Software effort may be defined as the prediction process of the effort required to develop any software. Many software effort estimation models have been developed in the past, but it is observed that none of them can be applied successfully in all kinds of projects in different environments that raise the problem of the software effort estimation model selection. To select the suitable software effort estimation model, many conflicting selection criteria must be considered in the decision process. The present study emphasizes on the development of a fuzzy multi-criteria decision making approach by integrating Fuzzy Set Theory and Weighted Distance Based Approximation. To show the consistency of the proposed approach, methodology validation is also performed by making comparison with existing methodologies and to check the criticality of the selection criterion, sensitivity analysis is also performed.

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Selection and ranking of E-learning websites using weighted distance-based approximation

Cited by 42 publications

References 12 publications

Prioritizing e-learning websites evaluation and selection criteria using fuzzy set theory

Prioritizing e-learning websites evaluation and selection criteria using fuzzy set theory

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Multi-criteria decision making approach for the selection of software effort estimation model

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